Pattern Mining Saliency

@inproceedings{Kong2016PatternMS,
  title={Pattern Mining Saliency},
  author={Yuqiu Kong and L. Wang and X. Liu and H. Lu and X. Ruan},
  booktitle={ECCV},
  year={2016}
}
  • Yuqiu Kong, L. Wang, +2 authors X. Ruan
  • Published in ECCV 2016
  • Computer Science
  • This paper presents a new method to promote the performance of existing saliency detection algorithms. Prior bottom-up methods predict saliency maps by combining heuristic saliency cues, which may be unreliable. To remove error outputs and preserve accurate predictions, we develop a pattern mining based saliency seeds selection method. Given initial saliency maps, our method can effectively recognize discriminative and representative saliency patterns (features), which are robust to the noise… CONTINUE READING
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